AI Agent Design
AI Agent Design & Deployment
We build intelligent agents that work alongside your team — handling repetitive tasks, qualifying leads, and serving customers around the clock.
Capabilities
What We Build
Every agent is purpose-built for your use case, integrated with your tools, and trained on your data.
Customer Support Agents
Handle tier-1 inquiries, route complex issues, and resolve tickets 24/7 with context-aware responses.
Sales Qualification Agents
Engage inbound leads, qualify prospects against your ICP, and book meetings automatically.
Internal Operations Agents
Automate HR onboarding, IT helpdesk, procurement approvals, and cross-department coordination.
Compliance & Audit Agents
Monitor regulatory requirements, flag policy violations, and generate audit-ready reports.
Knowledge Management Agents
Surface institutional knowledge from docs, wikis, and Slack — so your team never searches twice.
Process
How We Work
A structured five-phase engagement designed to minimize risk and maximize time-to-value.
Discovery
We audit your current workflows, interview stakeholders, and identify the highest-impact agent opportunities.
Design
We architect the agent's persona, decision tree, tool integrations, and escalation paths in a detailed spec.
Build
Our engineers build, prompt-engineer, and fine-tune the agent — iterating with your team in weekly demos.
Deploy
We launch to production with monitoring, fallback handling, and a 30-day stabilization period included.
Engagement Playbook
Phase-by-Phase Breakdown
Every AI agent engagement follows this proven playbook — from first call to production and ongoing optimization.
Discovery
Week 1- AI Readiness Assessment — current state analysis, data quality score, infrastructure gaps
- Use Case Prioritization Matrix — scored by impact, feasibility, and data availability
- Agent Architecture Diagram — system design with data flows and integration points
Architecture & Design
Week 2- Technical Architecture Document — model selection rationale, infrastructure diagram, cost projections
- Agent Specification — personality guide, conversation flows, edge cases, error handling
- Integration Plan — API mapping, authentication flows, data sync strategy
Build & Iterate
Weeks 3–5- Working Agent (Staging) — functional agent deployed in test environment
- Integration Documentation — API docs, webhook configs, auth setup
- QA Report — test results across 20+ conversation paths, edge cases resolved
Training & Handoff
Week 6- AI Playbook — step-by-step guide for managing and optimizing the agent
- Training Recording — 90-minute walkthrough of admin interface and common tasks
- Monitoring Dashboard — real-time metrics (usage, accuracy, escalation rate)
Support & Optimization
Weeks 7–8- Performance Report — usage stats, accuracy metrics, and cost analysis
- Optimization Log — changes made and measured impact
- ROI Analysis — time saved, cost reduction, and customer satisfaction delta
Deliverables
What You Get
- Production-ready AI agent deployed to your infrastructure
- Custom prompt library tuned to your brand voice
- Integration with your CRM, helpdesk, or internal tools
- Admin dashboard for monitoring and override controls
- Runbook and training documentation for your team
- 30-day post-launch support and optimization
Enterprise AI Integration
Starting from $25,000
Full-quarter engagement for organizations serious about AI transformation. Scope depends on agent complexity, number of integrations, and training data requirements.